{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\swhitt\Desktop\TPV Children within Insurgency Replication Files\TPV Children within insurgency replication data wide format log file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}11 Feb 2024, 17:25:22

{com}. do "C:\Users\swhitt\Desktop\TPV Children within Insurgency Replication Files\TPV Children within insurgency replication data wide format do file.do"
{txt}
{com}. *Retribution versus Rehabilitation for Children within Insurgency: Public Attitudes toward ISIS-affiliated Youth in Mosul, Iraq
. 
. *Replication Instructions
. 
. *Vera Mironova and Sam Whitt
. 
. *Below are instructions for replicating all manuscript and online appendix tables and figures in STATA using the WIDE format of the dataset "TPV Children within insurgency replication data wide format.dta". Please contact Sam Whitt (swhitt@highpoint.edu) for questions regarding data replication.Use the appropriate "wide format" do file to replicated different components of the manuscript.
. 
. *Note: You may need to install STATA packages for cibar, catcibar  and iebaltab commands. Use findit with command name to identify and download the appropriate packets to install. To install the catcibar command enter the following:
. *ssc install cibar
. *net install catcibar, from("https://aarondwolf.github.io/catcibar")
. 
. *Note: In addition, some graphs require additional formatting using filename.grec files with the graph play command. To format a graph, simply run the command to generate the graph in the do file in STATA, then open the "Graph Editor" in STATA and click on the GREEN "Play Recording" button, then select "Browse" to select the grec file from among Replication files. The name of the grec file is indicated in the note below the graph command in the do file for the specific graph you wish to format. This should automatically format the graph, which you may then save to a location of your choosing.
. 
. 
. *Manuscript Text
. 
. *Use wide format replication data for all text replication
. 
. *"In total, 358 subjects completed our study between April 22 and May 6, 2019."
. 
. tab date

    {txt}Date of {c |}
     survey {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      1-May {c |}{res}         21        5.87        5.87
{txt}      2-May {c |}{res}          6        1.68        7.54
{txt}     22-Apr {c |}{res}         35        9.78       17.32
{txt}     26-Apr {c |}{res}          3        0.84       18.16
{txt}     27-Apr {c |}{res}         17        4.75       22.91
{txt}     28-Apr {c |}{res}         62       17.32       40.22
{txt}     29-Apr {c |}{res}          8        2.23       42.46
{txt}      3-May {c |}{res}         37       10.34       52.79
{txt}     30-Apr {c |}{res}          5        1.40       54.19
{txt}      4-May {c |}{res}        128       35.75       89.94
{txt}      5-May {c |}{res}         25        6.98       96.93
{txt}      6-May {c |}{res}         11        3.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        358      100.00
{txt}
{com}. 
. *"Respondents ranged in age from 18-61, the vast majority of which were male (93%)."
. sum age

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}age {c |}{res}        358    29.55866    8.861883         18         61
{txt}
{com}. tab female

{txt}dummy coded {c |}
      1 for {c |}
female/wome {c |}
          n {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        331       92.46       92.46
{txt}          1 {c |}{res}         27        7.54      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        358      100.00
{txt}
{com}. 
. *"Figure 1 indicates responses to these inquiries. First, it shows that the overwhelming majority of Moslawis (97.8%) identify eighteen as the threshold age of adulthood."
. 
. tab adultage

  {txt}age to be {c |}
tried as an {c |}
      adult {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         12 {c |}{res}          2        0.56        0.56
{txt}         16 {c |}{res}          6        1.68        2.24
{txt}         18 {c |}{res}        349       97.76      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        357      100.00
{txt}
{com}. 
. *"The most common explanation for this age is correctly based on Iraqi law (90%), but some respondents also provided extra-legal justifications for adulthood based on religion (23%), agency (14%) and autonomy (17%), development (4%), and their own experiences with minors (25%)."
. 
. sum reasonslaw-reasonsexperience

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}reasonslaw {c |}{res}        358    .9022346    .2974128          0          1
{txt}reasonsrel~n {c |}{res}        358     .226257     .418993          0          1
{txt}reasonsright {c |}{res}        358    .1368715    .3441927          0          1
{txt}reasonsind~e {c |}{res}        358    .1675978    .3740315          0          1
{txt}reasonsdev~t {c |}{res}        358    .0363128    .1873293          0          1
{txt}{hline 13}{c +}{hline 57}
reasonsexp~e {c |}{res}        358    .2541899    .4360143          0          1
{txt}
{com}. 
. *Index of Extra-legal determinants of Adulthood
. alpha reasonsreligion-reasonsexperience

{txt}Test scale = mean(unstandardized items)
Reversed items: {res: reasonsreligion reasonsdevelopment}

Average interitem covariance:{col 34}{res} .0192307
{txt}Number of items in the scale:{col 34}{res}        5
{txt}Scale reliability coefficient:{col 34}{res}   0.4606
{txt}
{com}. 
. *"Figure 1 indicates that many respondents are willing to punish children under the age of eighteen as adults for ISIS involvement, in violation of Iraqi law. Only 30% state that the age at which ISIS participants should be punished as adults must be equivalent to their own prior reported threshold of adulthood. The majority (68%) would lower the age of punishment to one or more years below their adult threshold when punishing ISIS-affiliated youth."
. 
. tab ageofpunishment if adultage==18

  {txt}5. age of {c |}
 punishment {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         10 {c |}{res}          2        0.57        0.57
{txt}         12 {c |}{res}          1        0.29        0.86
{txt}         14 {c |}{res}          2        0.57        1.44
{txt}         15 {c |}{res}          3        0.86        2.30
{txt}         16 {c |}{res}         98       28.16       30.46
{txt}         17 {c |}{res}        133       38.22       68.68
{txt}         18 {c |}{res}        103       29.60       98.28
{txt}         19 {c |}{res}          2        0.57       98.85
{txt}         20 {c |}{res}          2        0.57       99.43
{txt}         22 {c |}{res}          2        0.57      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        348      100.00
{txt}
{com}. tab agedifference

{txt}ageofpunish {c |}
ment-adulta {c |}
         ge {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -8 {c |}{res}          2        0.56        0.56
{txt}         -6 {c |}{res}          1        0.28        0.84
{txt}         -4 {c |}{res}          3        0.84        1.69
{txt}         -3 {c |}{res}          3        0.84        2.53
{txt}         -2 {c |}{res}         98       27.53       30.06
{txt}         -1 {c |}{res}        135       37.92       67.98
{txt}          0 {c |}{res}        107       30.06       98.03
{txt}          1 {c |}{res}          3        0.84       98.88
{txt}          2 {c |}{res}          2        0.56       99.44
{txt}          4 {c |}{res}          2        0.56      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        356      100.00
{txt}
{com}. 
. *"Two sample t-tests indicate that parental coercion reduces punishment severity (t = 5.97, p<0.0000), and the effect size is considerably large (Cohen's d=0.69)."
. 
. ttest ahmadfnf, by (ahmadtxt) unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
with fat {c |}{res}{col 12}    212{col 22} 2.745283{col 34} .0468648{col 46} .6823617{col 58}   2.6529{col 70} 2.837666
 {txt}without {c |}{res}{col 12}    145{col 22} 3.365517{col 34} .0927516{col 46} 1.116877{col 58} 3.182187{col 70} 3.548848
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    357{col 22} 2.997199{col 34} .0494674{col 46} .9346591{col 58} 2.899914{col 70} 3.094484
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.6202342{col 34}  .103919{col 58}-.8250528{col 70}-.4154157
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}with fat{txt}) - mean({res}without{txt})                         t = {res} -5.9684
{txt}H0: diff = 0                     Satterthwaite's degrees of freedom = {res} 217.248

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. cohend ahmadfnf ahmadtxt

{res}(1) Cohen's {it:d} and (2) Cohen's {it:d} corrected for uneven groups

{txt}(1) -.69052669
(2) -.70301851


{res}(3) Hedges' {it:g} and (4) Hedges' {it:g} corrected for uneven groups

{txt}(3) -.68858973
(4) -.70104651


{res}(5) Effect size {it:r} and (6) Effect size {it:r} corrected for uneven groups

{txt}(5) -.32635879
(6) -.32116276

{com}. 
. *"We find that respondents are divided on this question with 58% agreeing or strongly agreeing that putting children of ISIS-affiliated families in a state-run facility would reduce radicalization and 42% disagreeing or strongly disagreeing."
. 
. tab withstate

    {txt}12a. would be {c |}
  better off in a {c |}
        state-run {c |}
    facility than {c |}
       with their {c |}
          parents {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
   strongly agree {c |}{res}        117       32.77       32.77
{txt}   somewhat agree {c |}{res}         89       24.93       57.70
{txt}somewhat disagree {c |}{res}        131       36.69       94.40
{txt}strongly disagree {c |}{res}         20        5.60      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}        357      100.00
{txt}
{com}. tab revwithstate

    {txt}12a. would be {c |}
  better off in a {c |}
        state-run {c |}
    facility than {c |}
       with their {c |}
          parents {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         20        5.60        5.60
{txt}somewhat disagree {c |}{res}        131       36.69       42.30
{txt}   somewhat agree {c |}{res}         89       24.93       67.23
{txt}   strongly agree {c |}{res}        117       32.77      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}        357      100.00
{txt}
{com}. 
. *"To evaluate H3, we measure threat perceptions by asking respondents whether "Children in ISIS could be just as dangerous as adults in the future" [1 = strongly disagree to 4 = strongly agree]. The vast majority somewhat agree (37.8%) or strongly agree (59.7%) that this was a concern."
. 
. tab revchildthreat

   {txt}4b. children a {c |}
    danger in the {c |}
  future reversed {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}          2        0.56        0.56
{txt}somewhat disagree {c |}{res}          7        1.96        2.52
{txt}   somewhat agree {c |}{res}        135       37.82       40.34
{txt}   strongly agree {c |}{res}        213       59.66      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}        357      100.00
{txt}
{com}. 
. *"This item links rehabilitation prospects with concerns about parental socialization effects driving radicalization. Respondents are again divided with 54.1% agreeing that this could prevent future radicalization and 45.9% disagreeing."
. 
. tab withparents

  {txt}12b. better off {c |}
       with their {c |}
 parents if their {c |}
   parents pledge {c |}
   not to support {c |}
            ISIS  {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
   strongly agree {c |}{res}         40       11.20       11.20
{txt}   somewhat agree {c |}{res}        153       42.86       54.06
{txt}somewhat disagree {c |}{res}        149       41.74       95.80
{txt}strongly disagree {c |}{res}         15        4.20      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}        357      100.00
{txt}
{com}. tab revwithparents

  {txt}12b. better off {c |}
       with their {c |}
 parents if their {c |}
   parents pledge {c |}
   not to support {c |}
            ISIS  {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}         15        4.20        4.20
{txt}somewhat disagree {c |}{res}        149       41.74       45.94
{txt}   somewhat agree {c |}{res}        153       42.86       88.80
{txt}   strongly agree {c |}{res}         40       11.20      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}        357      100.00
{txt}
{com}. 
. 
. *"This item examines support for more rehabilitation efforts to prevent radicalization. The vast majority either strongly agree (53.8%) or somewhat agree (43.1%) that this is needed to reduce future radicalization."
. 
. tab revreeducation

   {txt}12c. placed in {c |}
   some education {c |}
       program to {c |}
      reverse the {c |}
 effects of ISIS  {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}          5        1.40        1.40
{txt}somewhat disagree {c |}{res}          6        1.68        3.08
{txt}   somewhat agree {c |}{res}        154       43.14       46.22
{txt}   strongly agree {c |}{res}        192       53.78      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}        357      100.00
{txt}
{com}. 
. *"Figure 4a-d. report the frequency distributions of responses to each item by treatment. Mann-Whitney tests indicate significant differences in response distribution across treatments below the p<0.05 level with moderate effect sizes ranging from Cohen's d=0.53, 0.48, 0.76, and 0.23 respectively."
. 
. ranksum revsamidanger, by( samitxt)

{txt}Two-sample Wilcoxon rank-sum (Mann–Whitney) test

     samitxt {c |}      Obs    Rank sum    Expected
{hline 13}{c +}{hline 33}
Father is a  {c |}{res}{col 17}    212{col 26}   33236.5{col 38}     37948
{txt}Father is a  {c |}{res}{col 17}    145{col 26}   30666.5{col 38}     25955
{txt}{hline 13}{c +}{hline 33}
    Combined {c |}{res}{col 17}    357{col 26}     63903{col 38}     63903

{txt}Unadjusted variance{col 22}{res} 917076.67
{txt}Adjustment for ties{col 22}{res} -97980.67
{txt}{col 22}{hline 10}
Adjusted variance{col 22}{res} 819096.00

{txt}H0: revsam~r(samitxt==Father is a foreign fighter) = revsam~r(samitxt==Father is a local fighter)
{col 10}z = {res}{ralign 6:-5.206}
{txt}{col 1}Prob > |z| = {res}{ralign 6:0.0000}

{txt}Note: Exact p-value is not computed by default for sample sizes > 200.
      Use option {bf:exact} to compute it.

{com}. ranksum revsamiradical, by( samitxt)

{txt}Two-sample Wilcoxon rank-sum (Mann–Whitney) test

     samitxt {c |}      Obs    Rank sum    Expected
{hline 13}{c +}{hline 33}
Father is a  {c |}{res}{col 17}    212{col 26}   34107.5{col 38}     37948
{txt}Father is a  {c |}{res}{col 17}    145{col 26}   29795.5{col 38}     25955
{txt}{hline 13}{c +}{hline 33}
    Combined {c |}{res}{col 17}    357{col 26}     63903{col 38}     63903

{txt}Unadjusted variance{col 22}{res} 917076.67
{txt}Adjustment for ties{col 22}{res}-109637.69
{txt}{col 22}{hline 10}
Adjusted variance{col 22}{res} 807438.98

{txt}H0: revsam~l(samitxt==Father is a foreign fighter) = revsam~l(samitxt==Father is a local fighter)
{col 10}z = {res}{ralign 6:-4.274}
{txt}{col 1}Prob > |z| = {res}{ralign 6:0.0000}

{txt}Note: Exact p-value is not computed by default for sample sizes > 200.
      Use option {bf:exact} to compute it.

{com}. ranksum revsamirevenge, by( samitxt)

{txt}Two-sample Wilcoxon rank-sum (Mann–Whitney) test

     samitxt {c |}      Obs    Rank sum    Expected
{hline 13}{c +}{hline 33}
Father is a  {c |}{res}{col 17}    212{col 26}     32861{col 38}     37948
{txt}Father is a  {c |}{res}{col 17}    145{col 26}     31042{col 38}     25955
{txt}{hline 13}{c +}{hline 33}
    Combined {c |}{res}{col 17}    357{col 26}     63903{col 38}     63903

{txt}Unadjusted variance{col 22}{res} 917076.67
{txt}Adjustment for ties{col 22}{res}-167786.26
{txt}{col 22}{hline 10}
Adjusted variance{col 22}{res} 749290.40

{txt}H0: revsam~e(samitxt==Father is a foreign fighter) = revsam~e(samitxt==Father is a local fighter)
{col 10}z = {res}{ralign 6:-5.877}
{txt}{col 1}Prob > |z| = {res}{ralign 6:0.0000}

{txt}Note: Exact p-value is not computed by default for sample sizes > 200.
      Use option {bf:exact} to compute it.

{com}. ranksum revsamionlychild, by( samitxt)

{txt}Two-sample Wilcoxon rank-sum (Mann–Whitney) test

     samitxt {c |}      Obs    Rank sum    Expected
{hline 13}{c +}{hline 33}
Father is a  {c |}{res}{col 17}    212{col 26}   36237.5{col 38}     37948
{txt}Father is a  {c |}{res}{col 17}    145{col 26}   27665.5{col 38}     25955
{txt}{hline 13}{c +}{hline 33}
    Combined {c |}{res}{col 17}    357{col 26}     63903{col 38}     63903

{txt}Unadjusted variance{col 22}{res} 917076.67
{txt}Adjustment for ties{col 22}{res}-231472.74
{txt}{col 22}{hline 10}
Adjusted variance{col 22}{res} 685603.92

{txt}H0: revsam~d(samitxt==Father is a foreign fighter) = revsam~d(samitxt==Father is a local fighter)
{col 10}z = {res}{ralign 6:-2.066}
{txt}{col 1}Prob > |z| = {res}{ralign 6:0.0388}

{txt}Note: Exact p-value is not computed by default for sample sizes > 200.
      Use option {bf:exact} to compute it.

{com}. 
. cohend revsamidanger samitxt

{res}(1) Cohen's {it:d} and (2) Cohen's {it:d} corrected for uneven groups

{txt}(1) -.53184079
(2) -.54146194


{res}(3) Hedges' {it:g} and (4) Hedges' {it:g} corrected for uneven groups

{txt}(3) -.53034895
(4) -.53994311


{res}(5) Effect size {it:r} and (6) Effect size {it:r} corrected for uneven groups

{txt}(5) -.25698926
(6) -.25271697

{com}. cohend revsamiradical samitxt

{res}(1) Cohen's {it:d} and (2) Cohen's {it:d} corrected for uneven groups

{txt}(1) -.48276796
(2) -.49150137


{res}(3) Hedges' {it:g} and (4) Hedges' {it:g} corrected for uneven groups

{txt}(3) -.48141377
(4) -.49012268


{res}(5) Effect size {it:r} and (6) Effect size {it:r} corrected for uneven groups

{txt}(5) -.23464482
(6) -.23069926

{com}. cohend revsamirevenge samitxt

{res}(1) Cohen's {it:d} and (2) Cohen's {it:d} corrected for uneven groups

{txt}(1) -.76050507
(2) -.77426282


{res}(3) Hedges' {it:g} and (4) Hedges' {it:g} corrected for uneven groups

{txt}(3) -.75837182
(4) -.77209097


{res}(5) Effect size {it:r} and (6) Effect size {it:r} corrected for uneven groups

{txt}(5) -.35542402
(6) -.34988782

{com}. cohend revsamionlychild samitxt

{res}(1) Cohen's {it:d} and (2) Cohen's {it:d} corrected for uneven groups

{txt}(1) -.23553921
(2) -.23980017


{res}(3) Hedges' {it:g} and (4) Hedges' {it:g} corrected for uneven groups

{txt}(3) -.23487851
(4) -.23912752


{res}(5) Effect size {it:r} and (6) Effect size {it:r} corrected for uneven groups

{txt}(5) -.11696129
(6) -.11491071

{com}. 
. *"In Figure a, b, and c, respondents indicate that the child in the local treatment is a greater danger, more likely to become radical, and more likely to seek revenge, than in the foreign treatment. We combine these items into a common index of threat perception (see online appendix for details)."
. 
. *Child Threat Perception Index Variable
. 
. factor revsamidanger-revsamiradical
{txt}(obs=357)

Factor analysis/correlation{col 50}Number of obs    = {res}       357
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       3

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.55282      1.63199            1.2188       1.2188
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.07917      0.12037           -0.0621       1.1566
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.19954            .           -0.1566       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}3{txt})  ={res}  336.56{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revsamidan~r}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6517}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5752}}}{space 1}
{space 4}{space 0}{ralign 12:revsamirev~e}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7913}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3738}}}{space 1}
{space 4}{space 0}{ralign 12:revsamirad~l}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7084}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4981}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revsamidanger-revsamiradical

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res}  .399978
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.7856
{txt}
{com}. 
. 
. *"Figure 4d shows that many respondents strongly agree (56.6%) or somewhat agree (41.5%) with the statement that Sami is only a child and should not be punished for his father's crimes, even if he may be also regarded as a future threat in Figure 4a-c."
. 
. tab revsamionlychild

 {txt}11d. Sami 4 yrs, {c |}
father foreign vs {c |}
    local fighter {c |}
 only a child and {c |}
   should not be  {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
strongly disagree {c |}{res}          1        0.28        0.28
{txt}somewhat disagree {c |}{res}          6        1.68        1.96
{txt}   somewhat agree {c |}{res}        148       41.46       43.42
{txt}   strongly agree {c |}{res}        202       56.58      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}        357      100.00
{txt}
{com}. 
. 
. *Manuscript Tables and Figures
. 
. 
. *Figure 1. Determinants of adulthood
. 
. *Figure 1a. Age at which children should be punished as adults.
. 
. twoway  (histogram ageofpunishment, discrete percent) (histogram adultage, width(1) discrete percent fcolor(none) lcolor(black)), legend(position(6))
{res}{txt}
{com}. 
. graph save g1, replace
{res}{txt}file {bf:g1.gph} saved

{com}. 
. *Figure 1b. Determinants of adulthood
. 
. graph bar reasonslaw reasonsexperience reasonsreligion reasonsindependence reasonsright reasonsdevelopment , percent blabel(bar, position(outside) format(%4.2g)) legend(position(6))
{res}{txt}
{com}. 
. graph save g2, replace
{res}{txt}file {bf:g2.gph} saved

{com}. graph combine "g1.gph" "g2.gph"
{res}{txt}
{com}. 
. *Note additional formatting requires the "Figure 1 wide formatting.grec" file with the command graph play "Figure 1 wide formatting.grec"
. 
. *Figure 2. Mean punishment preferences for adults and children
. * see long format dataset
. 
. *Figure 3. Punishment preferences with parental coercion treatments.
. 
. *Figure 3a.
. cibar ahmadfnf, over1(ahmadtxt)
{res}{txt}
{com}. graph save g3, replace
{res}{txt}file {bf:g3.gph} saved

{com}. 
. *Figure 3b. 
. twoway  (histogram ahmadfnf if ahmadtxt==1, discrete percent) (histogram ahmadfnf if ahmadtxt==2,discrete percent fcolor(none) lcolor(black))
{res}{txt}
{com}. graph save g4, replace
{res}{txt}file {bf:g4.gph} saved

{com}. graph combine "g3.gph" "g4.gph"
{res}{txt}
{com}. 
. *Note additional formatting requires the "Figure 3 wide formatting.grec" file with the command graph play "Figure 3 wide formatting.grec"
. 
. *Table 1. Punishment preferences for adults and children (OLS regression).
. 
. *Model 1 (see Long format)
. 
. *Model 2 (see long format)
. 
. *Model 3 
. reg childfought revchildsupport revnopunchildfighter extralegal ageofpunishment female age education professional laborer unemployed income i.religion revimpreligion i.ethnicity revimpethnicity, robust

{txt}Linear regression                               Number of obs     = {res}       357
                                                {txt}F(19, 337)        =  {res}     3.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1637
                                                {txt}Root MSE          =    {res} .75613

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  childfought{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
revchildsup~t {c |}{col 15}{res}{space 2} .2234347{col 27}{space 2} .0714249{col 38}{space 1}    3.13{col 47}{space 3}0.002{col 55}{space 4} .0829399{col 68}{space 3} .3639295
{txt}revnopunchi~r {c |}{col 15}{res}{space 2}-.1578536{col 27}{space 2} .0509818{col 38}{space 1}   -3.10{col 47}{space 3}0.002{col 55}{space 4}-.2581361{col 68}{space 3} -.057571
{txt}{space 3}extralegal {c |}{col 15}{res}{space 2}-.4062319{col 27}{space 2} .1451651{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-.6917758{col 68}{space 3} -.120688
{txt}ageofpunish~t {c |}{col 15}{res}{space 2} .0525365{col 27}{space 2} .0443864{col 38}{space 1}    1.18{col 47}{space 3}0.237{col 55}{space 4}-.0347728{col 68}{space 3} .1398457
{txt}{space 7}female {c |}{col 15}{res}{space 2}-.1960889{col 27}{space 2} .1539554{col 38}{space 1}   -1.27{col 47}{space 3}0.204{col 55}{space 4}-.4989236{col 68}{space 3} .1067458
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0033368{col 27}{space 2} .0052362{col 38}{space 1}   -0.64{col 47}{space 3}0.524{col 55}{space 4}-.0136365{col 68}{space 3}  .006963
{txt}{space 4}education {c |}{col 15}{res}{space 2}-.0075572{col 27}{space 2} .0473764{col 38}{space 1}   -0.16{col 47}{space 3}0.873{col 55}{space 4}-.1007478{col 68}{space 3} .0856334
{txt}{space 1}professional {c |}{col 15}{res}{space 2}-.1488302{col 27}{space 2} .1333868{col 38}{space 1}   -1.12{col 47}{space 3}0.265{col 55}{space 4}-.4112057{col 68}{space 3} .1135454
{txt}{space 6}laborer {c |}{col 15}{res}{space 2}-.0184676{col 27}{space 2} .1070431{col 38}{space 1}   -0.17{col 47}{space 3}0.863{col 55}{space 4}-.2290244{col 68}{space 3} .1920893
{txt}{space 3}unemployed {c |}{col 15}{res}{space 2} .0146123{col 27}{space 2} .1489189{col 38}{space 1}    0.10{col 47}{space 3}0.922{col 55}{space 4}-.2783155{col 68}{space 3} .3075401
{txt}{space 7}income {c |}{col 15}{res}{space 2}-.0770634{col 27}{space 2} .0403968{col 38}{space 1}   -1.91{col 47}{space 3}0.057{col 55}{space 4}-.1565251{col 68}{space 3} .0023983
{txt}{space 13} {c |}
{space 5}religion {c |}
{space 8}Shia  {c |}{col 15}{res}{space 2}-.2788381{col 27}{space 2} .1745123{col 38}{space 1}   -1.60{col 47}{space 3}0.111{col 55}{space 4}-.6221088{col 68}{space 3} .0644326
{txt}{space 3}Christian  {c |}{col 15}{res}{space 2} .0893259{col 27}{space 2} .2647357{col 38}{space 1}    0.34{col 47}{space 3}0.736{col 55}{space 4}-.4314167{col 68}{space 3} .6100685
{txt}{space 7}Other  {c |}{col 15}{res}{space 2} .0660272{col 27}{space 2} .3340593{col 38}{space 1}    0.20{col 47}{space 3}0.843{col 55}{space 4}-.5910768{col 68}{space 3} .7231312
{txt}{space 13} {c |}
revimprelig~n {c |}{col 15}{res}{space 2} .1644763{col 27}{space 2} .0391143{col 38}{space 1}    4.21{col 47}{space 3}0.000{col 55}{space 4} .0875374{col 68}{space 3} .2414152
{txt}{space 13} {c |}
{space 4}ethnicity {c |}
{space 8}Kurd  {c |}{col 15}{res}{space 2} .2847055{col 27}{space 2}   .15928{col 38}{space 1}    1.79{col 47}{space 3}0.075{col 55}{space 4}-.0286028{col 68}{space 3} .5980138
{txt}{space 5}Turkmen  {c |}{col 15}{res}{space 2} .0500161{col 27}{space 2} .1521205{col 38}{space 1}    0.33{col 47}{space 3}0.743{col 55}{space 4}-.2492093{col 68}{space 3} .3492414
{txt}{space 7}Other  {c |}{col 15}{res}{space 2}-.1467602{col 27}{space 2} .2004364{col 38}{space 1}   -0.73{col 47}{space 3}0.465{col 55}{space 4}-.5410243{col 68}{space 3}  .247504
{txt}{space 13} {c |}
revimpethni~y {c |}{col 15}{res}{space 2}-.0597075{col 27}{space 2}   .04609{col 38}{space 1}   -1.30{col 47}{space 3}0.196{col 55}{space 4}-.1503678{col 68}{space 3} .0309527
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.301562{col 27}{space 2} .7974383{col 38}{space 1}    2.89{col 47}{space 3}0.004{col 55}{space 4} .7329778{col 68}{space 3} 3.870145
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Figure 4. Threat perception and rehabilitation prospects of a young child
. 
. *Figure 4a. 
. twoway  (histogram revsamidanger if samitxt==1, discrete percent) (histogram revsamidanger if samitxt==2,discrete percent fcolor(none) lcolor(black))
{res}{txt}
{com}. graph save g5, replace
{res}{txt}file {bf:g5.gph} saved

{com}. 
. *Figure 4b.
. twoway  (histogram revsamiradical if samitxt==1, discrete percent) (histogram revsamiradical if samitxt==2,discrete percent fcolor(none) lcolor(black))
{res}{txt}
{com}. graph save g6, replace
{res}{txt}file {bf:g6.gph} saved

{com}. 
. *Figure 4c.
. twoway  (histogram revsamirevenge if samitxt==1, discrete percent) (histogram revsamirevenge if samitxt==2,discrete percent fcolor(none) lcolor(black))
{res}{txt}
{com}. graph save g7, replace
{res}{txt}file {bf:g7.gph} saved

{com}. 
. *Figure 4d.
. twoway  (histogram revsamionlychild if samitxt==1, discrete percent) (histogram revsamionlychild if samitxt==2,discrete percent fcolor(none) lcolor(black))
{res}{txt}
{com}. graph save g8, replace
{res}{txt}file {bf:g8.gph} saved

{com}. 
. graph combine "g5.gph" "g6.gph" "g7.gph" "g8.gph"
{res}{txt}
{com}. 
. *Note additional formatting requires the "Figure 4 wide formatting.grec" file with the command graph play "Figure 4 wide formatting.grec"
. 
. *Table 2. Opposition to reintegration into society (OLS regression).
. 
. reg revwithstate revchildthreat revwithparents revreeducation   female age education professional laborer unemployed income i.religion revimpreligion i.ethnicity revimpethnicity, robust

{txt}Linear regression                               Number of obs     = {res}       357
                                                {txt}F(18, 338)        =  {res}     3.87
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1591
                                                {txt}Root MSE          =    {res} .89202

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} revwithstate{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
revchildthr~t {c |}{col 15}{res}{space 2} .2468523{col 27}{space 2} .0866283{col 38}{space 1}    2.85{col 47}{space 3}0.005{col 55}{space 4} .0764537{col 68}{space 3} .4172508
{txt}revwithpare~s {c |}{col 15}{res}{space 2}-.1924709{col 27}{space 2} .0715025{col 38}{space 1}   -2.69{col 47}{space 3}0.007{col 55}{space 4}-.3331168{col 68}{space 3} -.051825
{txt}revreeducat~n {c |}{col 15}{res}{space 2}-.1787465{col 27}{space 2} .0857443{col 38}{space 1}   -2.08{col 47}{space 3}0.038{col 55}{space 4}-.3474062{col 68}{space 3}-.0100867
{txt}{space 7}female {c |}{col 15}{res}{space 2} .2566163{col 27}{space 2} .1754593{col 38}{space 1}    1.46{col 47}{space 3}0.145{col 55}{space 4}-.0885133{col 68}{space 3}  .601746
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0023437{col 27}{space 2} .0063593{col 38}{space 1}   -0.37{col 47}{space 3}0.713{col 55}{space 4}-.0148526{col 68}{space 3} .0101651
{txt}{space 4}education {c |}{col 15}{res}{space 2} .0734823{col 27}{space 2} .0552453{col 38}{space 1}    1.33{col 47}{space 3}0.184{col 55}{space 4}-.0351856{col 68}{space 3} .1821501
{txt}{space 1}professional {c |}{col 15}{res}{space 2} .0372284{col 27}{space 2} .1658256{col 38}{space 1}    0.22{col 47}{space 3}0.823{col 55}{space 4}-.2889518{col 68}{space 3} .3634086
{txt}{space 6}laborer {c |}{col 15}{res}{space 2}-.0249714{col 27}{space 2} .1274288{col 38}{space 1}   -0.20{col 47}{space 3}0.845{col 55}{space 4}-.2756247{col 68}{space 3}  .225682
{txt}{space 3}unemployed {c |}{col 15}{res}{space 2} .3414501{col 27}{space 2} .1602026{col 38}{space 1}    2.13{col 47}{space 3}0.034{col 55}{space 4} .0263304{col 68}{space 3} .6565698
{txt}{space 7}income {c |}{col 15}{res}{space 2} .1259116{col 27}{space 2} .0465929{col 38}{space 1}    2.70{col 47}{space 3}0.007{col 55}{space 4}  .034263{col 68}{space 3} .2175602
{txt}{space 13} {c |}
{space 5}religion {c |}
{space 8}Shia  {c |}{col 15}{res}{space 2}-.1216506{col 27}{space 2} .2114126{col 38}{space 1}   -0.58{col 47}{space 3}0.565{col 55}{space 4}-.5375006{col 68}{space 3} .2941995
{txt}{space 3}Christian  {c |}{col 15}{res}{space 2}-.3526746{col 27}{space 2} .2731699{col 38}{space 1}   -1.29{col 47}{space 3}0.198{col 55}{space 4}-.8900018{col 68}{space 3} .1846526
{txt}{space 7}Other  {c |}{col 15}{res}{space 2}-.6582119{col 27}{space 2}  .484938{col 38}{space 1}   -1.36{col 47}{space 3}0.176{col 55}{space 4}-1.612089{col 68}{space 3} .2956648
{txt}{space 13} {c |}
revimprelig~n {c |}{col 15}{res}{space 2}-.0955289{col 27}{space 2} .0574287{col 38}{space 1}   -1.66{col 47}{space 3}0.097{col 55}{space 4}-.2084916{col 68}{space 3} .0174339
{txt}{space 13} {c |}
{space 4}ethnicity {c |}
{space 8}Kurd  {c |}{col 15}{res}{space 2}-.1678568{col 27}{space 2} .1624428{col 38}{space 1}   -1.03{col 47}{space 3}0.302{col 55}{space 4} -.487383{col 68}{space 3} .1516694
{txt}{space 5}Turkmen  {c |}{col 15}{res}{space 2} .2408599{col 27}{space 2} .1985283{col 38}{space 1}    1.21{col 47}{space 3}0.226{col 55}{space 4}-.1496468{col 68}{space 3} .6313666
{txt}{space 7}Other  {c |}{col 15}{res}{space 2} .3025364{col 27}{space 2} .2756182{col 38}{space 1}    1.10{col 47}{space 3}0.273{col 55}{space 4}-.2396067{col 68}{space 3} .8446795
{txt}{space 13} {c |}
revimpethni~y {c |}{col 15}{res}{space 2} .0166414{col 27}{space 2} .0560694{col 38}{space 1}    0.30{col 47}{space 3}0.767{col 55}{space 4}-.0936476{col 68}{space 3} .1269304
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.878268{col 27}{space 2} .5942337{col 38}{space 1}    4.84{col 47}{space 3}0.000{col 55}{space 4} 1.709406{col 68}{space 3}  4.04713
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg revwithstate c.samithreat#samitxt  female age education professional laborer unemployed income i.religion revimpreligion i.ethnicity revimpethnicity, robust

{txt}Linear regression                               Number of obs     = {res}       357
                                                {txt}F(17, 339)        =  {res}    13.26
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2680
                                                {txt}Root MSE          =    {res} .83104

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} revwithstate{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}samitxt#{c |}
{space 1}c.samithreat {c |}
Father is ..  {c |}{col 15}{res}{space 2} .6438528{col 27}{space 2} .0842772{col 38}{space 1}    7.64{col 47}{space 3}0.000{col 55}{space 4} .4780807{col 68}{space 3} .8096248
{txt}Father is ..  {c |}{col 15}{res}{space 2} .5760596{col 27}{space 2}  .060836{col 38}{space 1}    9.47{col 47}{space 3}0.000{col 55}{space 4} .4563961{col 68}{space 3} .6957231
{txt}{space 13} {c |}
{space 7}female {c |}{col 15}{res}{space 2} .2941262{col 27}{space 2}  .140149{col 38}{space 1}    2.10{col 47}{space 3}0.037{col 55}{space 4}  .018455{col 68}{space 3} .5697974
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0013452{col 27}{space 2}  .006044{col 38}{space 1}   -0.22{col 47}{space 3}0.824{col 55}{space 4}-.0132337{col 68}{space 3} .0105433
{txt}{space 4}education {c |}{col 15}{res}{space 2} .0265967{col 27}{space 2} .0504351{col 38}{space 1}    0.53{col 47}{space 3}0.598{col 55}{space 4}-.0726085{col 68}{space 3} .1258019
{txt}{space 1}professional {c |}{col 15}{res}{space 2} .0029584{col 27}{space 2} .1563587{col 38}{space 1}    0.02{col 47}{space 3}0.985{col 55}{space 4} -.304597{col 68}{space 3} .3105138
{txt}{space 6}laborer {c |}{col 15}{res}{space 2} .0420555{col 27}{space 2} .1221354{col 38}{space 1}    0.34{col 47}{space 3}0.731{col 55}{space 4}-.1981832{col 68}{space 3} .2822941
{txt}{space 3}unemployed {c |}{col 15}{res}{space 2} .3105685{col 27}{space 2} .1439033{col 38}{space 1}    2.16{col 47}{space 3}0.032{col 55}{space 4} .0275126{col 68}{space 3} .5936244
{txt}{space 7}income {c |}{col 15}{res}{space 2} .0746593{col 27}{space 2} .0466075{col 38}{space 1}    1.60{col 47}{space 3}0.110{col 55}{space 4}-.0170171{col 68}{space 3} .1663356
{txt}{space 13} {c |}
{space 5}religion {c |}
{space 8}Shia  {c |}{col 15}{res}{space 2}-.0620426{col 27}{space 2} .1902567{col 38}{space 1}   -0.33{col 47}{space 3}0.745{col 55}{space 4} -.436275{col 68}{space 3} .3121898
{txt}{space 3}Christian  {c |}{col 15}{res}{space 2}-.3481423{col 27}{space 2} .3349362{col 38}{space 1}   -1.04{col 47}{space 3}0.299{col 55}{space 4}-1.006957{col 68}{space 3} .3106727
{txt}{space 7}Other  {c |}{col 15}{res}{space 2}-.3339613{col 27}{space 2} .3297538{col 38}{space 1}   -1.01{col 47}{space 3}0.312{col 55}{space 4}-.9825826{col 68}{space 3} .3146601
{txt}{space 13} {c |}
revimprelig~n {c |}{col 15}{res}{space 2}-.0440965{col 27}{space 2} .0562613{col 38}{space 1}   -0.78{col 47}{space 3}0.434{col 55}{space 4}-.1547617{col 68}{space 3} .0665686
{txt}{space 13} {c |}
{space 4}ethnicity {c |}
{space 8}Kurd  {c |}{col 15}{res}{space 2}-.1728759{col 27}{space 2} .1477889{col 38}{space 1}   -1.17{col 47}{space 3}0.243{col 55}{space 4}-.4635746{col 68}{space 3} .1178228
{txt}{space 5}Turkmen  {c |}{col 15}{res}{space 2} .2312935{col 27}{space 2} .1523727{col 38}{space 1}    1.52{col 47}{space 3}0.130{col 55}{space 4}-.0684215{col 68}{space 3} .5310085
{txt}{space 7}Other  {c |}{col 15}{res}{space 2} .2803737{col 27}{space 2} .2588553{col 38}{space 1}    1.08{col 47}{space 3}0.280{col 55}{space 4}-.2287911{col 68}{space 3} .7895385
{txt}{space 13} {c |}
revimpethni~y {c |}{col 15}{res}{space 2} .0387063{col 27}{space 2}  .054806{col 38}{space 1}    0.71{col 47}{space 3}0.481{col 55}{space 4}-.0690963{col 68}{space 3} .1465089
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 1.306737{col 27}{space 2} .3279352{col 38}{space 1}    3.98{col 47}{space 3}0.000{col 55}{space 4} .6616925{col 68}{space 3} 1.951781
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg revwithstate c.revsamionlychild#samitxt female age education professional laborer unemployed income i.religion revimpreligion i.ethnicity revimpethnicity, robust

{txt}Linear regression                               Number of obs     = {res}       357
                                                {txt}F(17, 339)        =  {res}     3.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1136
                                                {txt}Root MSE          =    {res}  .9145

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} revwithstate{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}samitxt#{c |}
{space 11}c. {c |}
revsamionly~d {c |}
Father is ..  {c |}{col 15}{res}{space 2}-.2584574{col 27}{space 2} .0923664{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-.4401409{col 68}{space 3}-.0767738
{txt}Father is ..  {c |}{col 15}{res}{space 2}-.2221527{col 27}{space 2} .0937794{col 38}{space 1}   -2.37{col 47}{space 3}0.018{col 55}{space 4}-.4066154{col 68}{space 3}-.0376899
{txt}{space 13} {c |}
{space 7}female {c |}{col 15}{res}{space 2} .3165934{col 27}{space 2} .1663273{col 38}{space 1}    1.90{col 47}{space 3}0.058{col 55}{space 4}-.0105701{col 68}{space 3} .6437568
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0008556{col 27}{space 2} .0068243{col 38}{space 1}   -0.13{col 47}{space 3}0.900{col 55}{space 4}-.0142788{col 68}{space 3} .0125676
{txt}{space 4}education {c |}{col 15}{res}{space 2}  .047655{col 27}{space 2} .0541739{col 38}{space 1}    0.88{col 47}{space 3}0.380{col 55}{space 4}-.0589043{col 68}{space 3} .1542144
{txt}{space 1}professional {c |}{col 15}{res}{space 2}-.0057422{col 27}{space 2} .1683946{col 38}{space 1}   -0.03{col 47}{space 3}0.973{col 55}{space 4}-.3369721{col 68}{space 3} .3254877
{txt}{space 6}laborer {c |}{col 15}{res}{space 2} -.060814{col 27}{space 2}  .129422{col 38}{space 1}   -0.47{col 47}{space 3}0.639{col 55}{space 4}-.3153853{col 68}{space 3} .1937573
{txt}{space 3}unemployed {c |}{col 15}{res}{space 2} .2449585{col 27}{space 2} .1623951{col 38}{space 1}    1.51{col 47}{space 3}0.132{col 55}{space 4}-.0744704{col 68}{space 3} .5643874
{txt}{space 7}income {c |}{col 15}{res}{space 2} .1357519{col 27}{space 2} .0491185{col 38}{space 1}    2.76{col 47}{space 3}0.006{col 55}{space 4} .0391365{col 68}{space 3} .2323674
{txt}{space 13} {c |}
{space 5}religion {c |}
{space 8}Shia  {c |}{col 15}{res}{space 2}-.1593754{col 27}{space 2} .2051848{col 38}{space 1}   -0.78{col 47}{space 3}0.438{col 55}{space 4}-.5629712{col 68}{space 3} .2442203
{txt}{space 3}Christian  {c |}{col 15}{res}{space 2} -.386123{col 27}{space 2} .2892358{col 38}{space 1}   -1.33{col 47}{space 3}0.183{col 55}{space 4}-.9550459{col 68}{space 3} .1827999
{txt}{space 7}Other  {c |}{col 15}{res}{space 2}-.4072672{col 27}{space 2}  .505339{col 38}{space 1}   -0.81{col 47}{space 3}0.421{col 55}{space 4}-1.401262{col 68}{space 3} .5867278
{txt}{space 13} {c |}
revimprelig~n {c |}{col 15}{res}{space 2}-.0819296{col 27}{space 2} .0598708{col 38}{space 1}   -1.37{col 47}{space 3}0.172{col 55}{space 4}-.1996946{col 68}{space 3} .0358355
{txt}{space 13} {c |}
{space 4}ethnicity {c |}
{space 8}Kurd  {c |}{col 15}{res}{space 2}-.1840091{col 27}{space 2} .1685324{col 38}{space 1}   -1.09{col 47}{space 3}0.276{col 55}{space 4}-.5155101{col 68}{space 3} .1474919
{txt}{space 5}Turkmen  {c |}{col 15}{res}{space 2} .2879596{col 27}{space 2} .1948423{col 38}{space 1}    1.48{col 47}{space 3}0.140{col 55}{space 4}-.0952926{col 68}{space 3} .6712118
{txt}{space 7}Other  {c |}{col 15}{res}{space 2} .3793425{col 27}{space 2} .3146393{col 38}{space 1}    1.21{col 47}{space 3}0.229{col 55}{space 4}-.2395488{col 68}{space 3} .9982338
{txt}{space 13} {c |}
revimpethni~y {c |}{col 15}{res}{space 2}  .014942{col 27}{space 2} .0582408{col 38}{space 1}    0.26{col 47}{space 3}0.798{col 55}{space 4}-.0996169{col 68}{space 3} .1295009
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 3.488393{col 27}{space 2} .4521308{col 38}{space 1}    7.72{col 47}{space 3}0.000{col 55}{space 4} 2.599058{col 68}{space 3} 4.377728
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. *Appendix Replication
. 
. *Mosul Sampling Locations
. 
. tab locale

 {txt}Neighborhood {c |}      Freq.     Percent        Cum.
{hline 14}{c +}{hline 35}
         adan {c |}{res}         36       10.06       10.06
{txt}    alandelos {c |}{res}         23        6.42       16.48
{txt}      alaraby {c |}{res}         18        5.03       21.51
{txt}    albaaweza {c |}{res}          1        0.28       21.79
{txt}      albaker {c |}{res}         47       13.13       34.92
{txt}  albaladiyat {c |}{res}          3        0.84       35.75
{txt}     alfarooq {c |}{res}          1        0.28       36.03
{txt}     alhadbaa {c |}{res}         10        2.79       38.83
{txt}     aljadeda {c |}{res}          1        0.28       39.11
{txt}     alkarama {c |}{res}         37       10.34       49.44
{txt}    alkokjaly {c |}{res}          3        0.84       50.28
{txt}    almajmoaa {c |}{res}         36       10.06       60.34
{txt} almohandseen {c |}{res}          9        2.51       62.85
{txt}    almuthana {c |}{res}          3        0.84       63.69
{txt}alnabi younes {c |}{res}          1        0.28       63.97
{txt}      alnagar {c |}{res}          3        0.84       64.80
{txt}  alnoamaneya {c |}{res}          1        0.28       65.08
{txt}       alnoor {c |}{res}          3        0.84       65.92
{txt}   alqadesiya {c |}{res}          1        0.28       66.20
{txt}     alqahera {c |}{res}          1        0.28       66.48
{txt}       alquds {c |}{res}         20        5.59       72.07
{txt}      alrefaq {c |}{res}          7        1.96       74.02
{txt}      alsalam {c |}{res}          2        0.56       74.58
{txt}      alsamah {c |}{res}         30        8.38       82.96
{txt}      alsedek {c |}{res}          8        2.23       85.20
{txt}     alsheqaq {c |}{res}          4        1.12       86.31
{txt}    alshortaa {c |}{res}          2        0.56       86.87
{txt}      alsokar {c |}{res}          3        0.84       87.71
{txt}      alsumer {c |}{res}         18        5.03       92.74
{txt}     altahrer {c |}{res}          1        0.28       93.02
{txt}     alzaiton {c |}{res}         24        6.70       99.72
{txt}      alzohor {c |}{res}          1        0.28      100.00
{txt}{hline 14}{c +}{hline 35}
        Total {c |}{res}        358      100.00
{txt}
{com}. 
. *Summary of Variables in Manuscript Analysis
. 
. sum  childfought childworked adultfought adultworked ageofpunishment reasonslaw-reasonsexperience extralegal revchildsupport revnopunchildfighter revwithstate revchildthreat revwithparents revreeducation

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}childfought {c |}{res}        357     3.45098    .8044681          1          5
{txt}{space 1}childworked {c |}{res}        357    1.857143    .5701229          1          4
{txt}{space 1}adultfought {c |}{res}        357    4.781513    .5164648          2          5
{txt}{space 1}adultworked {c |}{res}        356    3.741573    .6056651          2          5
{txt}ageofpunis~t {c |}{res}        357    16.92717    1.201715         10         22
{txt}{hline 13}{c +}{hline 57}
{space 2}reasonslaw {c |}{res}        358    .9022346    .2974128          0          1
{txt}reasonsrel~n {c |}{res}        358     .226257     .418993          0          1
{txt}reasonsright {c |}{res}        358    .1368715    .3441927          0          1
{txt}reasonsind~e {c |}{res}        358    .1675978    .3740315          0          1
{txt}reasonsdev~t {c |}{res}        358    .0363128    .1873293          0          1
{txt}{hline 13}{c +}{hline 57}
reasonsexp~e {c |}{res}        358    .2541899    .4360143          0          1
{txt}{space 2}extralegal {c |}{res}        358    .0592179     .204327        -.4         .6
{txt}revchildsu~t {c |}{res}        357    3.296919    .6055145          1          4
{txt}revnopunch~r {c |}{res}        357    2.837535    .8718072          1          4
{txt}revwithstate {c |}{res}        357    2.848739    .9478419          1          4
{txt}{hline 13}{c +}{hline 57}
revchildth~t {c |}{res}        357    3.565826    .5651466          1          4
{txt}revwithpar~s {c |}{res}        357    2.610644    .7398746          1          4
{txt}revreeduca~n {c |}{res}        357    3.492997    .6071496          1          4
{txt}
{com}. 
. sum ahmadfnf if ahmadtxt==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}ahmadfnf {c |}{res}        212    2.745283    .6823617          2          4
{txt}
{com}. sum ahmadfnf if ahmadtxt==2

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}ahmadfnf {c |}{res}        145    3.365517    1.116877          2          5
{txt}
{com}. 
. sum c.samithreat#samitxt if samitxt==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}samitxt#{c |}
c.samithreat {c |}
Father is..  {c |}{res}        212    1.908805    .5824048          1          3
{txt}
{com}. sum c.samithreat#samitxt if samitxt==2

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}samitxt#{c |}
c.samithreat {c |}
Father is..  {c |}{res}        145    2.393103     .788291          1          4
{txt}
{com}. 
. sum c.revsamionlychild#samitxt  if samitxt==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}samitxt#{c |}
{space 10}c. {c |}
revsamionl~d {c |}
Father is..  {c |}{res}        212    3.490566    .5717734          1          4
{txt}
{com}. sum c.revsamionlychild#samitxt  if samitxt==2

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}samitxt#{c |}
{space 10}c. {c |}
revsamionl~d {c |}
Father is..  {c |}{res}        145     3.62069    .5009569          2          4
{txt}
{com}. 
. *Figure 1 General Punishment Preferences for ISIS Fighters (Child/Adult)
. 
. *see long format
. 
. *Figure 2 General Punishment Preferences for ISIS Workers (Child/Adult)
. 
. *see long format
. 
. *Figure 3. Ahmad 10-year old fighter vignette
. 
. twoway  (histogram ahmadfnf if ahmadtxt==1, discrete percent) (histogram ahmadfnf if ahmadtxt==2,discrete percent fcolor(none) lcolor(black))
{res}{txt}
{com}. 
. *Note additional formatting required
. 
. *Experimental Balance Tests across Treatment Groups
. 
. ksmirnov female, by(surveyversion12)

{txt}Two-sample Kolmogorov–Smirnov test for equality of distribution functions

Smaller group             D     p-value  
{hline 39}
1                  {res}  0.0703       0.426
{txt}2                  {res}  0.0000       1.000
{txt}Combined K-S       {res}  0.0703       0.788

{txt}Note: Ties exist in combined dataset;
      there are 2 unique values out of 358 observations.

{com}. ksmirnov age, by(surveyversion12)

{txt}Two-sample Kolmogorov–Smirnov test for equality of distribution functions

Smaller group             D     p-value  
{hline 39}
1                  {res}  0.1225       0.075
{txt}2                  {res} -0.0609       0.527
{txt}Combined K-S       {res}  0.1225       0.150

{txt}Note: Ties exist in combined dataset;
      there are 39 unique values out of 358 observations.

{com}. ksmirnov education, by(surveyversion12)

{txt}Two-sample Kolmogorov–Smirnov test for equality of distribution functions

Smaller group             D     p-value  
{hline 39}
1                  {res}  0.0462       0.692
{txt}2                  {res} -0.0192       0.939
{txt}Combined K-S       {res}  0.0462       0.993

{txt}Note: Ties exist in combined dataset;
      there are 4 unique values out of 358 observations.

{com}. ksmirnov professional, by(surveyversion12)

{txt}Two-sample Kolmogorov–Smirnov test for equality of distribution functions

Smaller group             D     p-value  
{hline 39}
1                  {res}  0.0075       0.990
{txt}2                  {res}  0.0000       1.000
{txt}Combined K-S       {res}  0.0075       1.000

{txt}Note: Ties exist in combined dataset;
      there are 2 unique values out of 358 observations.

{com}. ksmirnov laborer, by(surveyversion12)

{txt}Two-sample Kolmogorov–Smirnov test for equality of distribution functions

Smaller group             D     p-value  
{hline 39}
1                  {res}  0.0000       1.000
{txt}2                  {res} -0.0686       0.444
{txt}Combined K-S       {res}  0.0686       0.811

{txt}Note: Ties exist in combined dataset;
      there are 2 unique values out of 358 observations.

{com}. ksmirnov unemployed, by(surveyversion12)

{txt}Two-sample Kolmogorov–Smirnov test for equality of distribution functions

Smaller group             D     p-value  
{hline 39}
1                  {res}  0.0258       0.891
{txt}2                  {res}  0.0000       1.000
{txt}Combined K-S       {res}  0.0258       1.000

{txt}Note: Ties exist in combined dataset;
      there are 2 unique values out of 358 observations.

{com}. ksmirnov income, by(surveyversion12)

{txt}Two-sample Kolmogorov–Smirnov test for equality of distribution functions

Smaller group             D     p-value  
{hline 39}
1                  {res}  0.2645       0.000
{txt}2                  {res}  0.0000       1.000
{txt}Combined K-S       {res}  0.2645       0.000

{txt}Note: Ties exist in combined dataset;
      there are 4 unique values out of 358 observations.

{com}. ksmirnov religion, by(surveyversion12)

{txt}Two-sample Kolmogorov–Smirnov test for equality of distribution functions

Smaller group             D     p-value  
{hline 39}
1                  {res}  0.0021       0.999
{txt}2                  {res} -0.0425       0.732
{txt}Combined K-S       {res}  0.0425       0.998

{txt}Note: Ties exist in combined dataset;
      there are 4 unique values out of 358 observations.

{com}. ksmirnov ethnicity, by(surveyversion12)

{txt}Two-sample Kolmogorov–Smirnov test for equality of distribution functions

Smaller group             D     p-value  
{hline 39}
1                  {res}  0.1159       0.098
{txt}2                  {res}  0.0000       1.000
{txt}Combined K-S       {res}  0.1159       0.196

{txt}Note: Ties exist in combined dataset;
      there are 4 unique values out of 358 observations.

{com}. 
. *Treatment Effect Estimation for Child Fighter with/wo Father Survey Vignette (Ahmad)
. 
. teffects ra (ahmadfnf income) (ahmadtxt)

{res}{txt}Iteration 0:{space 2}EE criterion = {res: 6.663e-31}  
Iteration 1:{space 2}EE criterion = {res: 2.448e-32}  
{res}
{txt}Treatment-effects estimation{col 49}Number of obs {col 67}= {res}       357
{txt:Estimator}{col 16}:{res: regression adjustment}
{txt:Outcome model}{col 16}:{res: linear}
{txt:Treatment model}{col 16}:{res: none}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     ahmadfnf{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE           {txt}{c |}
{space 5}ahmadtxt {c |}
(without f..  {c |}
{space 10}vs  {c |}
with fath..)  {c |}{col 15}{res}{space 2}  .558066{col 27}{space 2} .1045303{col 38}{space 1}    5.34{col 47}{space 3}0.000{col 55}{space 4} .3531904{col 68}{space 3} .7629415
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean        {txt}{c |}
{space 5}ahmadtxt {c |}
with fathe..  {c |}{col 15}{res}{space 2} 2.745305{col 27}{space 2}  .048522{col 38}{space 1}   56.58{col 47}{space 3}0.000{col 55}{space 4} 2.650203{col 68}{space 3} 2.840406
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. teffects ipwra (ahmadfnf) (ahmadtxt income)

{res}{txt}Iteration 0:{space 2}EE criterion = {res: 8.621e-18}  
Iteration 1:{space 2}EE criterion = {res: 3.099e-32}  
{res}
{txt}Treatment-effects estimation{col 49}Number of obs {col 67}= {res}       357
{txt:Estimator}{col 16}:{res: IPW regression adjustment}
{txt:Outcome model}{col 16}:{res: linear}
{txt:Treatment model}{col 16}:{res: logit}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     ahmadfnf{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE           {txt}{c |}
{space 5}ahmadtxt {c |}
(without f..  {c |}
{space 10}vs  {c |}
with fath..)  {c |}{col 15}{res}{space 2} .5502588{col 27}{space 2} .1048794{col 38}{space 1}    5.25{col 47}{space 3}0.000{col 55}{space 4} .3446989{col 68}{space 3} .7558187
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean        {txt}{c |}
{space 5}ahmadtxt {c |}
with fathe..  {c |}{col 15}{res}{space 2} 2.753408{col 27}{space 2} .0494569{col 38}{space 1}   55.67{col 47}{space 3}0.000{col 55}{space 4} 2.656474{col 68}{space 3} 2.850341
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. teffects psmatch (ahmadfnf) (ahmadtxt income)
{res}
{txt}Treatment-effects estimation{col 48}Number of obs {col 67}= {res}       357
{txt:Estimator}{col 16}:{res: propensity-score matching}{col 48}{txt:Matches: requested }{col 67}{txt:=}          1
{txt:Outcome model}{col 16}:{res: matching}{txt}{col 63}min {col 67}= {res}        20
{txt:Treatment model}{col 16}:{res: logit}{col 63}{txt:max }{col 67}{txt:=}         86
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}   AI robust
{col 1}     ahmadfnf{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE           {txt}{c |}
{space 5}ahmadtxt {c |}
(without f..  {c |}
{space 10}vs  {c |}
with fath..)  {c |}{col 15}{res}{space 2} .5533599{col 27}{space 2} .1057236{col 38}{space 1}    5.23{col 47}{space 3}0.000{col 55}{space 4} .3461455{col 68}{space 3} .7605743
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Treatment Effect Estimation for Child of Local/Foreign Fighter Survey Vignette (Sami, Threat Perception Index)
. 
. teffects ra (samithreat income) (samitxt)

{res}{txt}Iteration 0:{space 2}EE criterion = {res: 1.346e-31}  
Iteration 1:{space 2}EE criterion = {res: 6.070e-32}  
{res}
{txt}Treatment-effects estimation{col 49}Number of obs {col 67}= {res}       357
{txt:Estimator}{col 16}:{res: regression adjustment}
{txt:Outcome model}{col 16}:{res: linear}
{txt:Treatment model}{col 16}:{res: none}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   samithreat{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE           {txt}{c |}
{space 6}samitxt {c |}
(Father is..  {c |}
{space 10}vs  {c |}
Father is..)  {c |}{col 15}{res}{space 2} .3980935{col 27}{space 2}  .079268{col 38}{space 1}    5.02{col 47}{space 3}0.000{col 55}{space 4} .2427311{col 68}{space 3} .5534558
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean        {txt}{c |}
{space 6}samitxt {c |}
Father is ..  {c |}{col 15}{res}{space 2}  1.91991{col 27}{space 2} .0413018{col 38}{space 1}   46.48{col 47}{space 3}0.000{col 55}{space 4}  1.83896{col 68}{space 3}  2.00086
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. teffects ipwra (samithreat) (samitxt income)

{res}{txt}Iteration 0:{space 2}EE criterion = {res: 8.621e-18}  
Iteration 1:{space 2}EE criterion = {res: 9.230e-32}  
{res}
{txt}Treatment-effects estimation{col 49}Number of obs {col 67}= {res}       357
{txt:Estimator}{col 16}:{res: IPW regression adjustment}
{txt:Outcome model}{col 16}:{res: linear}
{txt:Treatment model}{col 16}:{res: logit}
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   samithreat{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE           {txt}{c |}
{space 6}samitxt {c |}
(Father is..  {c |}
{space 10}vs  {c |}
Father is..)  {c |}{col 15}{res}{space 2} .4067928{col 27}{space 2}  .079291{col 38}{space 1}    5.13{col 47}{space 3}0.000{col 55}{space 4} .2513853{col 68}{space 3} .5622003
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean        {txt}{c |}
{space 6}samitxt {c |}
Father is ..  {c |}{col 15}{res}{space 2} 1.919258{col 27}{space 2} .0418149{col 38}{space 1}   45.90{col 47}{space 3}0.000{col 55}{space 4} 1.837302{col 68}{space 3} 2.001213
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. teffects psmatch (samithreat) (samitxt income)
{res}
{txt}Treatment-effects estimation{col 48}Number of obs {col 67}= {res}       357
{txt:Estimator}{col 16}:{res: propensity-score matching}{col 48}{txt:Matches: requested }{col 67}{txt:=}          1
{txt:Outcome model}{col 16}:{res: matching}{txt}{col 63}min {col 67}= {res}        20
{txt:Treatment model}{col 16}:{res: logit}{col 63}{txt:max }{col 67}{txt:=}         86
{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}   AI robust
{col 1}   samithreat{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE           {txt}{c |}
{space 6}samitxt {c |}
(Father is..  {c |}
{space 10}vs  {c |}
Father is..)  {c |}{col 15}{res}{space 2}  .406999{col 27}{space 2} .0804664{col 38}{space 1}    5.06{col 47}{space 3}0.000{col 55}{space 4} .2492879{col 68}{space 3} .5647102
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Manuscript Table 1. Robustness Check (Ordered Probit Regression)
. 
. *Model 1 (see Long format)
. 
. *Model 2 (see long format)
. 
. *Model 3 (wide format)
. oprobit childfought revchildsupport revnopunchildfighter extralegal ageofpunishment female age education professional laborer unemployed income i.religion revimpreligion i.ethnicity revimpethnicity, robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-357.99753}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-326.53228}  
Iteration 2:{space 2}Log pseudolikelihood = {res:  -326.108}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-326.10696}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-326.10696}  
{res}
{txt}{col 1}Ordered probit regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:357}
{txt}{col 57}{lalign 13:Wald chi2({res:19})}{col 70} = {res}{ralign 6:68.07}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-326.10696}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0891}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}  childfought{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
revchildsup~t {c |}{col 15}{res}{space 2} .3840036{col 27}{space 2} .1169988{col 38}{space 1}    3.28{col 47}{space 3}0.001{col 55}{space 4} .1546901{col 68}{space 3} .6133171
{txt}revnopunchi~r {c |}{col 15}{res}{space 2}-.2581552{col 27}{space 2}  .078029{col 38}{space 1}   -3.31{col 47}{space 3}0.001{col 55}{space 4}-.4110892{col 68}{space 3}-.1052211
{txt}{space 3}extralegal {c |}{col 15}{res}{space 2}-.6792631{col 27}{space 2} .2544344{col 38}{space 1}   -2.67{col 47}{space 3}0.008{col 55}{space 4}-1.177945{col 68}{space 3}-.1805808
{txt}ageofpunish~t {c |}{col 15}{res}{space 2} .1046275{col 27}{space 2} .0743898{col 38}{space 1}    1.41{col 47}{space 3}0.160{col 55}{space 4}-.0411739{col 68}{space 3} .2504289
{txt}{space 7}female {c |}{col 15}{res}{space 2}-.3058507{col 27}{space 2} .2765489{col 38}{space 1}   -1.11{col 47}{space 3}0.269{col 55}{space 4}-.8478765{col 68}{space 3} .2361751
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0077499{col 27}{space 2} .0081272{col 38}{space 1}   -0.95{col 47}{space 3}0.340{col 55}{space 4}-.0236789{col 68}{space 3}  .008179
{txt}{space 4}education {c |}{col 15}{res}{space 2}-.0157365{col 27}{space 2} .0716226{col 38}{space 1}   -0.22{col 47}{space 3}0.826{col 55}{space 4}-.1561141{col 68}{space 3} .1246412
{txt}{space 1}professional {c |}{col 15}{res}{space 2}-.1869007{col 27}{space 2} .2065151{col 38}{space 1}   -0.91{col 47}{space 3}0.365{col 55}{space 4}-.5916628{col 68}{space 3} .2178615
{txt}{space 6}laborer {c |}{col 15}{res}{space 2}-.0169743{col 27}{space 2} .1668508{col 38}{space 1}   -0.10{col 47}{space 3}0.919{col 55}{space 4}-.3439959{col 68}{space 3} .3100472
{txt}{space 3}unemployed {c |}{col 15}{res}{space 2}  .051679{col 27}{space 2} .2314073{col 38}{space 1}    0.22{col 47}{space 3}0.823{col 55}{space 4}-.4018709{col 68}{space 3} .5052289
{txt}{space 7}income {c |}{col 15}{res}{space 2}-.1077869{col 27}{space 2} .0622127{col 38}{space 1}   -1.73{col 47}{space 3}0.083{col 55}{space 4}-.2297215{col 68}{space 3} .0141477
{txt}{space 13} {c |}
{space 5}religion {c |}
{space 8}Shia  {c |}{col 15}{res}{space 2}-.4546781{col 27}{space 2} .2912666{col 38}{space 1}   -1.56{col 47}{space 3}0.119{col 55}{space 4} -1.02555{col 68}{space 3}  .116194
{txt}{space 3}Christian  {c |}{col 15}{res}{space 2} .0720464{col 27}{space 2} .4082426{col 38}{space 1}    0.18{col 47}{space 3}0.860{col 55}{space 4}-.7280943{col 68}{space 3} .8721872
{txt}{space 7}Other  {c |}{col 15}{res}{space 2} .2412042{col 27}{space 2} .5272099{col 38}{space 1}    0.46{col 47}{space 3}0.647{col 55}{space 4}-.7921082{col 68}{space 3} 1.274517
{txt}{space 13} {c |}
revimprelig~n {c |}{col 15}{res}{space 2} .2685231{col 27}{space 2} .0671517{col 38}{space 1}    4.00{col 47}{space 3}0.000{col 55}{space 4} .1369083{col 68}{space 3} .4001379
{txt}{space 13} {c |}
{space 4}ethnicity {c |}
{space 8}Kurd  {c |}{col 15}{res}{space 2} .3983248{col 27}{space 2} .2415213{col 38}{space 1}    1.65{col 47}{space 3}0.099{col 55}{space 4}-.0750481{col 68}{space 3} .8716978
{txt}{space 5}Turkmen  {c |}{col 15}{res}{space 2} .0824647{col 27}{space 2} .2396968{col 38}{space 1}    0.34{col 47}{space 3}0.731{col 55}{space 4}-.3873324{col 68}{space 3} .5522617
{txt}{space 7}Other  {c |}{col 15}{res}{space 2}-.3001956{col 27}{space 2}  .361648{col 38}{space 1}   -0.83{col 47}{space 3}0.406{col 55}{space 4}-1.009013{col 68}{space 3} .4086215
{txt}{space 13} {c |}
revimpethni~y {c |}{col 15}{res}{space 2}-.0923001{col 27}{space 2}  .074366{col 38}{space 1}   -1.24{col 47}{space 3}0.215{col 55}{space 4}-.2380547{col 68}{space 3} .0534545
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/cut1 {c |}{col 15}{res}{space 2}-.7142275{col 27}{space 2} 1.350569{col 55}{space 4}-3.361293{col 68}{space 3} 1.932838
{txt}{space 8}/cut2 {c |}{col 15}{res}{space 2} .1208865{col 27}{space 2} 1.337225{col 55}{space 4}-2.500026{col 68}{space 3} 2.741799
{txt}{space 8}/cut3 {c |}{col 15}{res}{space 2} 2.734118{col 27}{space 2} 1.325287{col 55}{space 4} .1366019{col 68}{space 3} 5.331633
{txt}{space 8}/cut4 {c |}{col 15}{res}{space 2} 3.375744{col 27}{space 2}  1.31906{col 55}{space 4} .7904337{col 68}{space 3} 5.961054
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Manuscript Table 2. Robustness Check (Ordered Probit Regression)
. 
. oprobit revwithstate revchildthreat revwithparents revreeducation   female age education professional laborer unemployed income i.religion revimpreligion i.ethnicity revimpethnicity, robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-443.12319}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-412.16029}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-412.08559}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-412.08556}  
{res}
{txt}{col 1}Ordered probit regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:357}
{txt}{col 57}{lalign 13:Wald chi2({res:18})}{col 70} = {res}{ralign 6:59.71}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-412.08556}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0700}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} revwithstate{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
revchildthr~t {c |}{col 15}{res}{space 2} .3070358{col 27}{space 2} .1072363{col 38}{space 1}    2.86{col 47}{space 3}0.004{col 55}{space 4} .0968565{col 68}{space 3} .5172152
{txt}revwithpare~s {c |}{col 15}{res}{space 2}-.2680758{col 27}{space 2} .0920007{col 38}{space 1}   -2.91{col 47}{space 3}0.004{col 55}{space 4}-.4483938{col 68}{space 3}-.0877578
{txt}revreeducat~n {c |}{col 15}{res}{space 2}-.2047614{col 27}{space 2} .1077042{col 38}{space 1}   -1.90{col 47}{space 3}0.057{col 55}{space 4}-.4158578{col 68}{space 3} .0063349
{txt}{space 7}female {c |}{col 15}{res}{space 2} .3133405{col 27}{space 2} .2359605{col 38}{space 1}    1.33{col 47}{space 3}0.184{col 55}{space 4}-.1491336{col 68}{space 3} .7758145
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0036816{col 27}{space 2} .0079203{col 38}{space 1}   -0.46{col 47}{space 3}0.642{col 55}{space 4}-.0192051{col 68}{space 3} .0118419
{txt}{space 4}education {c |}{col 15}{res}{space 2} .0932525{col 27}{space 2} .0681953{col 38}{space 1}    1.37{col 47}{space 3}0.171{col 55}{space 4}-.0404077{col 68}{space 3} .2269128
{txt}{space 1}professional {c |}{col 15}{res}{space 2} .0353479{col 27}{space 2} .2051838{col 38}{space 1}    0.17{col 47}{space 3}0.863{col 55}{space 4}-.3668048{col 68}{space 3} .4375007
{txt}{space 6}laborer {c |}{col 15}{res}{space 2}-.0203598{col 27}{space 2} .1590754{col 38}{space 1}   -0.13{col 47}{space 3}0.898{col 55}{space 4}-.3321419{col 68}{space 3} .2914223
{txt}{space 3}unemployed {c |}{col 15}{res}{space 2} .4481607{col 27}{space 2} .2110987{col 38}{space 1}    2.12{col 47}{space 3}0.034{col 55}{space 4} .0344148{col 68}{space 3} .8619066
{txt}{space 7}income {c |}{col 15}{res}{space 2}   .16492{col 27}{space 2} .0589213{col 38}{space 1}    2.80{col 47}{space 3}0.005{col 55}{space 4} .0494364{col 68}{space 3} .2804035
{txt}{space 13} {c |}
{space 5}religion {c |}
{space 8}Shia  {c |}{col 15}{res}{space 2}-.1674871{col 27}{space 2} .2841325{col 38}{space 1}   -0.59{col 47}{space 3}0.556{col 55}{space 4}-.7243765{col 68}{space 3} .3894023
{txt}{space 3}Christian  {c |}{col 15}{res}{space 2}-.4246039{col 27}{space 2} .3411205{col 38}{space 1}   -1.24{col 47}{space 3}0.213{col 55}{space 4}-1.093188{col 68}{space 3} .2439801
{txt}{space 7}Other  {c |}{col 15}{res}{space 2} -.822969{col 27}{space 2} .5530244{col 38}{space 1}   -1.49{col 47}{space 3}0.137{col 55}{space 4}-1.906877{col 68}{space 3} .2609389
{txt}{space 13} {c |}
revimprelig~n {c |}{col 15}{res}{space 2}-.1044102{col 27}{space 2} .0734362{col 38}{space 1}   -1.42{col 47}{space 3}0.155{col 55}{space 4}-.2483424{col 68}{space 3} .0395221
{txt}{space 13} {c |}
{space 4}ethnicity {c |}
{space 8}Kurd  {c |}{col 15}{res}{space 2}-.1926678{col 27}{space 2} .2025426{col 38}{space 1}   -0.95{col 47}{space 3}0.341{col 55}{space 4} -.589644{col 68}{space 3} .2043083
{txt}{space 5}Turkmen  {c |}{col 15}{res}{space 2} .3311412{col 27}{space 2} .2513881{col 38}{space 1}    1.32{col 47}{space 3}0.188{col 55}{space 4}-.1615704{col 68}{space 3} .8238528
{txt}{space 7}Other  {c |}{col 15}{res}{space 2} .3838076{col 27}{space 2} .3847253{col 38}{space 1}    1.00{col 47}{space 3}0.318{col 55}{space 4}  -.37024{col 68}{space 3} 1.137855
{txt}{space 13} {c |}
revimpethni~y {c |}{col 15}{res}{space 2} .0193712{col 27}{space 2} .0699449{col 38}{space 1}    0.28{col 47}{space 3}0.782{col 55}{space 4}-.1177183{col 68}{space 3} .1564607
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/cut1 {c |}{col 15}{res}{space 2}-1.772422{col 27}{space 2} .7578594{col 55}{space 4}-3.257799{col 68}{space 3}-.2870449
{txt}{space 8}/cut2 {c |}{col 15}{res}{space 2}-.2094747{col 27}{space 2} .7466101{col 55}{space 4}-1.672804{col 68}{space 3} 1.253854
{txt}{space 8}/cut3 {c |}{col 15}{res}{space 2} .4989074{col 27}{space 2} .7491123{col 55}{space 4}-.9693256{col 68}{space 3}  1.96714
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. oprobit revwithstate c.samithreat#samitxt c.revsamionlychild#samitxt  female age education professional laborer unemployed income i.religion revimpreligion i.ethnicity revimpethnicity, robust

{res}{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-443.12319}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-390.21345}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-389.98327}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-389.98324}  
{res}
{txt}{col 1}Ordered probit regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:357}
{txt}{col 57}{lalign 13:Wald chi2({res:19})}{col 70} = {res}{ralign 6:105.87}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-389.98324}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1199}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} revwithstate{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}samitxt#{c |}
{space 1}c.samithreat {c |}
Father is ..  {c |}{col 15}{res}{space 2} .7555316{col 27}{space 2} .1551061{col 38}{space 1}    4.87{col 47}{space 3}0.000{col 55}{space 4} .4515292{col 68}{space 3} 1.059534
{txt}Father is ..  {c |}{col 15}{res}{space 2} .7913474{col 27}{space 2} .1326505{col 38}{space 1}    5.97{col 47}{space 3}0.000{col 55}{space 4} .5313572{col 68}{space 3} 1.051338
{txt}{space 13} {c |}
{space 6}samitxt#{c |}
{space 11}c. {c |}
revsamionly~d {c |}
Father is ..  {c |}{col 15}{res}{space 2}-.2221885{col 27}{space 2} .1160555{col 38}{space 1}   -1.91{col 47}{space 3}0.056{col 55}{space 4}-.4496531{col 68}{space 3} .0052762
{txt}Father is ..  {c |}{col 15}{res}{space 2}-.2861739{col 27}{space 2} .1488546{col 38}{space 1}   -1.92{col 47}{space 3}0.055{col 55}{space 4}-.5779235{col 68}{space 3} .0055756
{txt}{space 13} {c |}
{space 7}female {c |}{col 15}{res}{space 2} .4349776{col 27}{space 2} .2183726{col 38}{space 1}    1.99{col 47}{space 3}0.046{col 55}{space 4} .0069751{col 68}{space 3} .8629801
{txt}{space 10}age {c |}{col 15}{res}{space 2} .0007092{col 27}{space 2} .0084621{col 38}{space 1}    0.08{col 47}{space 3}0.933{col 55}{space 4}-.0158762{col 68}{space 3} .0172946
{txt}{space 4}education {c |}{col 15}{res}{space 2} .0461072{col 27}{space 2} .0671651{col 38}{space 1}    0.69{col 47}{space 3}0.492{col 55}{space 4}-.0855339{col 68}{space 3} .1777483
{txt}{space 1}professional {c |}{col 15}{res}{space 2}-.0146201{col 27}{space 2} .2108916{col 38}{space 1}   -0.07{col 47}{space 3}0.945{col 55}{space 4}-.4279601{col 68}{space 3}   .39872
{txt}{space 6}laborer {c |}{col 15}{res}{space 2}  .041201{col 27}{space 2} .1667777{col 38}{space 1}    0.25{col 47}{space 3}0.805{col 55}{space 4}-.2856773{col 68}{space 3} .3680792
{txt}{space 3}unemployed {c |}{col 15}{res}{space 2}  .397201{col 27}{space 2} .2047128{col 38}{space 1}    1.94{col 47}{space 3}0.052{col 55}{space 4}-.0040288{col 68}{space 3} .7984307
{txt}{space 7}income {c |}{col 15}{res}{space 2} .1061627{col 27}{space 2} .0620793{col 38}{space 1}    1.71{col 47}{space 3}0.087{col 55}{space 4}-.0155105{col 68}{space 3} .2278358
{txt}{space 13} {c |}
{space 5}religion {c |}
{space 8}Shia  {c |}{col 15}{res}{space 2}-.0410233{col 27}{space 2} .2836824{col 38}{space 1}   -0.14{col 47}{space 3}0.885{col 55}{space 4}-.5970306{col 68}{space 3}  .514984
{txt}{space 3}Christian  {c |}{col 15}{res}{space 2}-.4679091{col 27}{space 2} .4187932{col 38}{space 1}   -1.12{col 47}{space 3}0.264{col 55}{space 4}-1.288729{col 68}{space 3} .3529104
{txt}{space 7}Other  {c |}{col 15}{res}{space 2} -.331711{col 27}{space 2} .4363673{col 38}{space 1}   -0.76{col 47}{space 3}0.447{col 55}{space 4}-1.186975{col 68}{space 3} .5235531
{txt}{space 13} {c |}
revimprelig~n {c |}{col 15}{res}{space 2} -.056725{col 27}{space 2} .0793467{col 38}{space 1}   -0.71{col 47}{space 3}0.475{col 55}{space 4}-.2122417{col 68}{space 3} .0987918
{txt}{space 13} {c |}
{space 4}ethnicity {c |}
{space 8}Kurd  {c |}{col 15}{res}{space 2}-.1737255{col 27}{space 2} .1984855{col 38}{space 1}   -0.88{col 47}{space 3}0.381{col 55}{space 4}-.5627498{col 68}{space 3} .2152989
{txt}{space 5}Turkmen  {c |}{col 15}{res}{space 2} .3423502{col 27}{space 2} .2193815{col 38}{space 1}    1.56{col 47}{space 3}0.119{col 55}{space 4}-.0876297{col 68}{space 3} .7723301
{txt}{space 7}Other  {c |}{col 15}{res}{space 2}  .354698{col 27}{space 2} .4182435{col 38}{space 1}    0.85{col 47}{space 3}0.396{col 55}{space 4}-.4650443{col 68}{space 3}  1.17444
{txt}{space 13} {c |}
revimpethni~y {c |}{col 15}{res}{space 2} .0474511{col 27}{space 2} .0741161{col 38}{space 1}    0.64{col 47}{space 3}0.522{col 55}{space 4}-.0978138{col 68}{space 3} .1927161
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/cut1 {c |}{col 15}{res}{space 2}-.6366283{col 27}{space 2} .6113971{col 55}{space 4}-1.834945{col 68}{space 3}  .561688
{txt}{space 8}/cut2 {c |}{col 15}{res}{space 2} .9188482{col 27}{space 2} .6240944{col 55}{space 4}-.3043543{col 68}{space 3} 2.142051
{txt}{space 8}/cut3 {c |}{col 15}{res}{space 2} 1.736189{col 27}{space 2} .6336122{col 55}{space 4} .4943315{col 68}{space 3} 2.978046
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Robustness Checks for Locational Fixed Effects
. 
. *Punishment Preferences (OLS, Locational Effects)
. 
. *See Long format
. 
. *Opposition to Reintegration into Society (OLS, Locational Effects)
. 
. reg revwithstate revchildthreat revwithparents revreeducation female age education professional laborer unemployed income i.religion revimpreligion i.ethnicity revimpethnicity westmosul, robust

{txt}Linear regression                               Number of obs     = {res}       357
                                                {txt}F(19, 337)        =  {res}     3.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1591
                                                {txt}Root MSE          =    {res} .89334

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} revwithstate{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
revchildthr~t {c |}{col 15}{res}{space 2}  .246893{col 27}{space 2} .0869742{col 38}{space 1}    2.84{col 47}{space 3}0.005{col 55}{space 4} .0758122{col 68}{space 3} .4179737
{txt}revwithpare~s {c |}{col 15}{res}{space 2}-.1925675{col 27}{space 2}  .071604{col 38}{space 1}   -2.69{col 47}{space 3}0.008{col 55}{space 4}-.3334146{col 68}{space 3}-.0517204
{txt}revreeducat~n {c |}{col 15}{res}{space 2} -.178691{col 27}{space 2} .0858779{col 38}{space 1}   -2.08{col 47}{space 3}0.038{col 55}{space 4}-.3476153{col 68}{space 3}-.0097668
{txt}{space 7}female {c |}{col 15}{res}{space 2} .2564627{col 27}{space 2} .1761855{col 38}{space 1}    1.46{col 47}{space 3}0.146{col 55}{space 4}-.0900991{col 68}{space 3} .6030245
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0023374{col 27}{space 2} .0063448{col 38}{space 1}   -0.37{col 47}{space 3}0.713{col 55}{space 4}-.0148178{col 68}{space 3}  .010143
{txt}{space 4}education {c |}{col 15}{res}{space 2} .0736325{col 27}{space 2} .0555692{col 38}{space 1}    1.33{col 47}{space 3}0.186{col 55}{space 4}-.0356737{col 68}{space 3} .1829388
{txt}{space 1}professional {c |}{col 15}{res}{space 2} .0369358{col 27}{space 2} .1652959{col 38}{space 1}    0.22{col 47}{space 3}0.823{col 55}{space 4} -.288206{col 68}{space 3} .3620775
{txt}{space 6}laborer {c |}{col 15}{res}{space 2}-.0249286{col 27}{space 2} .1277088{col 38}{space 1}   -0.20{col 47}{space 3}0.845{col 55}{space 4}-.2761355{col 68}{space 3} .2262783
{txt}{space 3}unemployed {c |}{col 15}{res}{space 2} .3413991{col 27}{space 2}  .160405{col 38}{space 1}    2.13{col 47}{space 3}0.034{col 55}{space 4} .0258779{col 68}{space 3} .6569204
{txt}{space 7}income {c |}{col 15}{res}{space 2} .1259334{col 27}{space 2} .0466653{col 38}{space 1}    2.70{col 47}{space 3}0.007{col 55}{space 4} .0341415{col 68}{space 3} .2177252
{txt}{space 13} {c |}
{space 5}religion {c |}
{space 8}Shia  {c |}{col 15}{res}{space 2}-.1218868{col 27}{space 2} .2119027{col 38}{space 1}   -0.58{col 47}{space 3}0.566{col 55}{space 4}-.5387055{col 68}{space 3} .2949318
{txt}{space 3}Christian  {c |}{col 15}{res}{space 2}-.3532955{col 27}{space 2} .2768986{col 38}{space 1}   -1.28{col 47}{space 3}0.203{col 55}{space 4}-.8979628{col 68}{space 3} .1913718
{txt}{space 7}Other  {c |}{col 15}{res}{space 2}-.6579518{col 27}{space 2} .4854448{col 38}{space 1}   -1.36{col 47}{space 3}0.176{col 55}{space 4}-1.612835{col 68}{space 3} .2969318
{txt}{space 13} {c |}
revimprelig~n {c |}{col 15}{res}{space 2}-.0955585{col 27}{space 2} .0574884{col 38}{space 1}   -1.66{col 47}{space 3}0.097{col 55}{space 4}-.2086399{col 68}{space 3} .0175229
{txt}{space 13} {c |}
{space 4}ethnicity {c |}
{space 8}Kurd  {c |}{col 15}{res}{space 2}-.1676162{col 27}{space 2}  .163357{col 38}{space 1}   -1.03{col 47}{space 3}0.306{col 55}{space 4} -.488944{col 68}{space 3} .1537115
{txt}{space 5}Turkmen  {c |}{col 15}{res}{space 2} .2409019{col 27}{space 2}  .199004{col 38}{space 1}    1.21{col 47}{space 3}0.227{col 55}{space 4}-.1505445{col 68}{space 3} .6323483
{txt}{space 7}Other  {c |}{col 15}{res}{space 2} .3021118{col 27}{space 2} .2771776{col 38}{space 1}    1.09{col 47}{space 3}0.277{col 55}{space 4}-.2431044{col 68}{space 3}  .847328
{txt}{space 13} {c |}
revimpethni~y {c |}{col 15}{res}{space 2} .0166825{col 27}{space 2} .0560331{col 38}{space 1}    0.30{col 47}{space 3}0.766{col 55}{space 4}-.0935362{col 68}{space 3} .1269012
{txt}{space 4}westmosul {c |}{col 15}{res}{space 2} .0081592{col 27}{space 2} .2960854{col 38}{space 1}    0.03{col 47}{space 3}0.978{col 55}{space 4}-.5742491{col 68}{space 3} .5905675
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  2.87734{col 27}{space 2} .5969684{col 38}{space 1}    4.82{col 47}{space 3}0.000{col 55}{space 4} 1.703086{col 68}{space 3} 4.051594
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg revwithstate c.samithreat#samitxt c.revsamionlychild#samitxt  female age education professional laborer unemployed income i.religion revimpreligion i.ethnicity revimpethnicity westmosul, robust

{txt}Linear regression                               Number of obs     = {res}       357
                                                {txt}F(20, 336)        =  {res}    10.60
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2783
                                                {txt}Root MSE          =    {res} .82885

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} revwithstate{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}samitxt#{c |}
{space 1}c.samithreat {c |}
Father is ..  {c |}{col 15}{res}{space 2} .6076926{col 27}{space 2} .1017939{col 38}{space 1}    5.97{col 47}{space 3}0.000{col 55}{space 4}  .407459{col 68}{space 3} .8079262
{txt}Father is ..  {c |}{col 15}{res}{space 2}  .585785{col 27}{space 2} .0813463{col 38}{space 1}    7.20{col 47}{space 3}0.000{col 55}{space 4} .4257729{col 68}{space 3} .7457972
{txt}{space 13} {c |}
{space 6}samitxt#{c |}
{space 11}c. {c |}
revsamionly~d {c |}
Father is ..  {c |}{col 15}{res}{space 2}-.1760896{col 27}{space 2}  .089371{col 38}{space 1}   -1.97{col 47}{space 3}0.050{col 55}{space 4}-.3518867{col 68}{space 3}-.0002924
{txt}Father is ..  {c |}{col 15}{res}{space 2}-.1973206{col 27}{space 2} .1098639{col 38}{space 1}   -1.80{col 47}{space 3}0.073{col 55}{space 4}-.4134283{col 68}{space 3} .0187871
{txt}{space 13} {c |}
{space 7}female {c |}{col 15}{res}{space 2} .2763182{col 27}{space 2}  .143367{col 38}{space 1}    1.93{col 47}{space 3}0.055{col 55}{space 4}-.0056917{col 68}{space 3} .5583281
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0000154{col 27}{space 2} .0060261{col 38}{space 1}   -0.00{col 47}{space 3}0.998{col 55}{space 4}-.0118691{col 68}{space 3} .0118383
{txt}{space 4}education {c |}{col 15}{res}{space 2} .0273749{col 27}{space 2} .0486845{col 38}{space 1}    0.56{col 47}{space 3}0.574{col 55}{space 4}-.0683899{col 68}{space 3} .1231396
{txt}{space 1}professional {c |}{col 15}{res}{space 2} .0026808{col 27}{space 2} .1527146{col 38}{space 1}    0.02{col 47}{space 3}0.986{col 55}{space 4}-.2977164{col 68}{space 3} .3030781
{txt}{space 6}laborer {c |}{col 15}{res}{space 2} .0264868{col 27}{space 2} .1236062{col 38}{space 1}    0.21{col 47}{space 3}0.830{col 55}{space 4}-.2166527{col 68}{space 3} .2696262
{txt}{space 3}unemployed {c |}{col 15}{res}{space 2} .2848857{col 27}{space 2} .1447197{col 38}{space 1}    1.97{col 47}{space 3}0.050{col 55}{space 4} .0002149{col 68}{space 3} .5695565
{txt}{space 7}income {c |}{col 15}{res}{space 2} .0749474{col 27}{space 2} .0467258{col 38}{space 1}    1.60{col 47}{space 3}0.110{col 55}{space 4}-.0169646{col 68}{space 3} .1668593
{txt}{space 13} {c |}
{space 5}religion {c |}
{space 8}Shia  {c |}{col 15}{res}{space 2} -.063131{col 27}{space 2} .1904778{col 38}{space 1}   -0.33{col 47}{space 3}0.741{col 55}{space 4}-.4378101{col 68}{space 3} .3115482
{txt}{space 3}Christian  {c |}{col 15}{res}{space 2}-.3676891{col 27}{space 2} .3320468{col 38}{space 1}   -1.11{col 47}{space 3}0.269{col 55}{space 4}-1.020841{col 68}{space 3} .2854633
{txt}{space 7}Other  {c |}{col 15}{res}{space 2}-.2482652{col 27}{space 2} .3431745{col 38}{space 1}   -0.72{col 47}{space 3}0.470{col 55}{space 4}-.9233064{col 68}{space 3} .4267761
{txt}{space 13} {c |}
revimprelig~n {c |}{col 15}{res}{space 2}-.0440246{col 27}{space 2} .0577031{col 38}{space 1}   -0.76{col 47}{space 3}0.446{col 55}{space 4}-.1575295{col 68}{space 3} .0694802
{txt}{space 13} {c |}
{space 4}ethnicity {c |}
{space 8}Kurd  {c |}{col 15}{res}{space 2} -.136396{col 27}{space 2} .1516664{col 38}{space 1}   -0.90{col 47}{space 3}0.369{col 55}{space 4}-.4347313{col 68}{space 3} .1619393
{txt}{space 5}Turkmen  {c |}{col 15}{res}{space 2} .2334929{col 27}{space 2} .1584484{col 38}{space 1}    1.47{col 47}{space 3}0.142{col 55}{space 4} -.078183{col 68}{space 3} .5451687
{txt}{space 7}Other  {c |}{col 15}{res}{space 2}  .292139{col 27}{space 2} .2754762{col 38}{space 1}    1.06{col 47}{space 3}0.290{col 55}{space 4}-.2497363{col 68}{space 3} .8340142
{txt}{space 13} {c |}
revimpethni~y {c |}{col 15}{res}{space 2} .0278969{col 27}{space 2} .0548121{col 38}{space 1}    0.51{col 47}{space 3}0.611{col 55}{space 4}-.0799212{col 68}{space 3}  .135715
{txt}{space 4}westmosul {c |}{col 15}{res}{space 2}-.0316743{col 27}{space 2} .3659694{col 38}{space 1}   -0.09{col 47}{space 3}0.931{col 55}{space 4}-.7515543{col 68}{space 3} .6882057
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  1.99076{col 27}{space 2} .4551151{col 38}{space 1}    4.37{col 47}{space 3}0.000{col 55}{space 4} 1.095526{col 68}{space 3} 2.885994
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\swhitt\Desktop\TPV Children within Insurgency Replication Files\TPV Children within insurgency replication data wide format log file.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}11 Feb 2024, 17:25:46
{txt}{.-}
{smcl}
{txt}{sf}{ul off}